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Related Concept Videos

Fermentation01:29

Fermentation

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Most eukaryotic organisms require oxygen to survive and function adequately. Such organisms produce large amounts of energy during aerobic respiration by metabolizing glucose and oxygen into carbon dioxide and water. However, most eukaryotes can generate some energy in the absence of oxygen by anaerobic metabolism.
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Microbial Fermentation01:23

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Fermentation is a crucial anaerobic metabolic process that enables microbes to derive energy from sugar without relying on oxygen or an electron transport chain. This process is fundamental to various biological and industrial applications and is classified based on the metabolic products generated.Role of Pyruvate in FermentationPyruvate and its derivatives serve as key electron acceptors in fermentative pathways. The oxidation of NADH to regenerate NAD+ is essential for the continuation of...
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Microbes in Food Production01:29

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Microbial fermentation is central to food biotechnology, enhancing flavor, texture, preservation, and stability. Fermentative microorganisms metabolize carbohydrates into organic acids, alcohols, and other metabolites that inhibit spoilage organisms and improve digestibility while contributing distinctive sensory qualities.In baking, amylases naturally present in flour hydrolyze starch into monosaccharides such as glucose, which Saccharomyces cerevisiae ferments anaerobically. Through...
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Microbes in the Production of Fermented Foods01:27

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Lactic acid bacteria (LAB) and molds are instrumental in fermenting plant-based foods to enhance preservation and ensure year-round availability. These microbial processes convert plant carbohydrates into organic acids and other metabolites that inhibit spoilage organisms and contribute to the sensory qualities of the final product.In sauerkraut production, cabbage goes through a microbial succession that starts with cocci such as Leuconostoc mesenteroides. These microbes begin fermentation by...
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Bioreactor Controls-I01:28

Bioreactor Controls-I

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Maintaining optimal conditions within fermenters is essential for maximizing microbial productivity and ensuring process efficiency. This lesson focuses on key parameters—temperature, foam, pH, carbon dioxide, oxygen, and pressure—and their precise measurement and control strategies in fermentation systems.Temperature ControlTemperature regulation is critical due to the exothermic nature of many fermentation processes. In small laboratory fermenters, temperature is commonly...
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Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
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Identifying Variables Influencing Traditional Food Solid-State Fermentation by Statistical Modeling.

Guangyuan Jin1, Sjoerd Boeschoten2, Jos Hageman3

  • 1The Lab of Brewing Microbiology and Applied Enzymology, School of Biotechnology, Jiangnan University, Wuxi 214122, China.

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|May 11, 2024
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Summary
This summary is machine-generated.

Statistical models revealed that lactic acid, not ambient temperature, likely inhibits Chinese liquor yield during solid-state fermentation. Further research is needed to confirm key variables for process improvement.

Keywords:
Chinese liquorethanollactic acidsolid-state fermentationstatistic modelsstatistical analysis

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Area of Science:

  • Biotechnology
  • Food Science
  • Chemical Engineering

Background:

  • Traditional solid-state fermentation (SSF) processes often lack scientific basis, leading to unpredictable outcomes in food production.
  • Mathematical models struggle to capture the dynamic complexity of SSF, hindering identification of critical factors affecting yield and quality.

Purpose of the Study:

  • To develop statistical models correlating industrial data with final Chinese liquor yield in SSF.
  • To identify key variables influencing yield fluctuations in traditional Chinese liquor production.

Main Methods:

  • Established statistical models using industrial data: initial starch, water, acid content, starting temperature, and substrate temperature profiles.
  • Developed a lactic-acid-inhibition model to explain seasonal yield variations.

Main Results:

  • Models based solely on initial conditions and temperature profiles provided unsatisfactory yield predictions.
  • Seasonal yield differences, particularly the drop from April to December, were not explained by ambient temperature.
  • A lactic-acid-inhibition model suggested lactic acid produced by bacteria as a probable cause for reduced yield.

Conclusions:

  • Lactic acid accumulation is a likely factor limiting Chinese liquor yield in SSF.
  • Integrated microbiological and engineering studies are essential to pinpoint critical variables for SSF optimization.
  • Findings offer insights for improving complex solid-state fermentation processes.